MLRC VisionLab
Designing Systems for Multilingual Learners
Join the VisionLab Community of Practice!
The MLRC VisionLab is a new MLRC initiative that provides district ML leaders an opportunity to work together and with other districts to improve programming for multilingual learners.
Join MLRC and district facilitators in a year-long community of practice to jointly examine how to use systems change frameworks and multilingual learning frameworks to plan for and implement changes to multilingual learner programming across your district.
Sample VisionLab Agenda
Building the VisionLab Cohort
- Create shared understanding of VisionLab purpose
- Apply a systems change framework to understand the problem space
- Learn about the MLRC Program Framework and Inventory
Identifying Data to Understand ML Students and Programming
- Understand role of evidence and what we know
- Define problem of practice for each team
- Brainstorm data sources
Why Action Research?
- Learn about action research
- Refine problem of practice and develop research question(s)
- Identify data sources and develop data collection plan and analysis plan
Reviewing Action Research Results
- Begin analyzing data
- Interpret findings with peer feedback
- Develop community feedback plan
Working on an Action Plan
- Return to systems change framework and ML framework and align plan to both, incorporating feedback
- Develop action plan
Ready for Next Steps
- Pitch your plan to your cohort and get feedback
- Make revisions and begin!
The VisionLab aligns with Evidence-Based ML Frameworks
Each cohort uses the MLRC Multilingual Learner Program Framework and relevant State ML Frameworks to understand its ML programs.
MLRC Dual Language Program Framework
Program Structure
High-quality Curriculum
High-quality Instructional Practices
Assessment
Educator Capacity
Family and Community Engagement
Systems Alignment, Funding and Leadership
Culture/Asset Orientation/Shared Responsibility
Data Use
Each VisionLab cohort includes:
Participation for team of up to four district educators
Online community of practice with district colleagues
Facilitation by research and practitioner experts
Opportunity to engage in Action Research Cycle
Development of district ML action plan
1:1 follow-up coaching
Optional full-day district site visit with MLRC experts
Systems change process aligned with ML frameworks